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Music notes to amino acid sequence: A STEAM approach to study protein structure
Author(s) -
Acan Sinan Can,
Acan Naciye Leyla
Publication year - 2019
Publication title -
biochemistry and molecular biology education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.34
H-Index - 39
eISSN - 1539-3429
pISSN - 1470-8175
DOI - 10.1002/bmb.21299
Subject(s) - the arts , protein structure prediction , sequence (biology) , function (biology) , amino acid , protein sequencing , peptide sequence , protein structure , computer science , chemistry , mathematics education , biochemistry , biology , mathematics , art , gene , genetics , visual arts
Recently, manuscripts that use bioinformatics tools to convert proteins and other biological materials into music have appeared in several journals. The authors claim that this type of studies adds joy to education of life sciences and attract public attention to biochemistry education along with other uses. We thought the reverse of the process might also be possible for the purpose. We converted notes into amino acids depending on the decreasing hydrophobicity and by using the famous nursery song “Twinkle, Twinkle, Little Star” notes, a hypothetical protein sequence was obtained. Three‐dimensional structures were modeled by I‐Tasser Protein Structure and Function Prediction server and the structure of the possible models were investigated. This Science, Technology, Engineering, Arts and Math (STEAM) approach may bring fun to protein structure education. © 2019 International Union of Biochemistry and Molecular Biology, 47(6):669–671, 2019.